Senior Manager, Finance Data Governance and Risk

** Your opportunity*
* At Schwab, you're empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us "challenge the status quo" and transform the finance industry together.

This is a role where you will be able to grow your expertise through consistent challenges with the backing of passionate leaders who will value your contributions and encourage your development.

Schwab is currently embarking on a transformation of our data risk and governance program, and finance data is at the center of this effort.  As a Manager of Data Risk and Data Governance within Finance, you will play a critical leadership role in strengthening Schwab's enterprise data risk posture across Treasury, Finance, Regulatory Reporting, and related risk domains. This role is accountable for  
** driving the design, execution, and adoption of data governance and data risk management practices
** that ensure the integrity, consistency, and regulatory defensibility of finance data used for decision‑making, reporting, and risk management.

You will partner closely with Finance, Treasury, Technology, and Enterprise Risk teams to  
** identify, assess, and remediate data risks** , translating regulatory expectations and enterprise data standards into  
** practical, sustainable operating processes** . This role requires a strong balance of strategic thinking and hands‑on leadership-shaping data governance frameworks while actively enabling teams to embed controls, stewardship, and accountability into day‑to‑day finance operations.  These solutions will require embracing the full utilization of emerging governance technologies that cover data integrity throughout the data journey.

In this role, you will act as a  
** trusted leader and subject‑matter expert
** for finance data risk, influencing across organizational boundaries to drive alignment to a shared data vision. You will oversee dependencies across systems and data domains, guide prioritization of data risk initiatives, and ensure that governance outcomes directly support Schwab's strategic objectives, regulatory commitments, and risk appetite.

*
* Key Responsibilities:

*
* + Lead the  
** implementation and ongoing execution of data governance and data risk practices
** across Finance, Regulatory Reporting, and Treasury data domains, including ownership, stewardship, controls, and issue management.

+ Drive alignment between  
** business, technology, and risk stakeholders
** to ensure data risk requirements are clearly understood and effectively operationalized.

+ Serve as a finance data risk leader,  
** translating regulatory expectations and enterprise standards into actionable processes
** that improve data quality, transparency, and control effectiveness.

+ Partner with enterprise data risk teams  
** to support remediation of data issues** , manage dependencies across systems, and track progress against defined risk outcomes.

+ Enable consistent use of data governance tooling, workflows, and metrics to support reporting, escalation, and executive visibility into finance data risk.

+ Influence and coach teams to adopt  
** disciplined data management and governance behaviors** , fostering a culture of accountability and continuous improvement.

** What you have*
* + Bachelor's degree or equivalent

+ 5+ years of experience in Data Risk and/or Data Governance or related activities.

+ Strong knowledge of Finance, Treasury, Regulatory Reporting, or risk management data, including broker‑dealer and bank risk concepts.

+ Accounting and/or Asset Liability Management knowledge

+ Knowledge of broker dealer and bank risk management capabilities

+ Exceptional / pragmatic business judgment combined with outstanding communication and relationship skills

+ Hands-on knowledge using data and data governance technology:  SQL, Big Query, Informatica  Cloud Data Governance and Catalog   (CDGC) , Informatica Data Quality (IDQ)

+

Experience with data analysis, design and architecture including experience with very large data sets.

+ Ability to understand technical issues and possess strong problem-solving skills.

+ Ability to work hands on with team members to inspire…